A Study On The Application Of Characteristic Symbol Detection And The Scene Recognition Technology In Sport-video

In order to excavate the commercial ads profits fully, sports competitions organizers always hope that lays aside more billboards as far as possible around the competition range. However, in the actual game scene, for the protection of athletes and the quality spectators watched, many regions forbid to place the billboard around competition range. For example, nearby agent goal in football competition, nearby agent and sideline in tennis match and so on. At this time, broadcast company can use the video fusion technology, analysis the sports video while broadcast sports video, and integrate the pre-prepared images or animated ads into the video image, and can also render the virtual objects to the virtual scene in real-time, so as to generate the virtual advertisement which is similar to the real advertisement.The characteristic symbol detection and the scene recognition technology is the core technology of sport-video frequency fusion system, it analyzes the characteristic symbol information in the sport-video, and establishes the perspective transformation which relates to the real location and provides the transformation basis for the hypothesized advertisement's fusion by using the information.Many overseas companies have a lot of research about sport-video fusion technology, and some products have been put into the market. There is also some development facility launch the research to this technology, and already have some initial fruits. There are many issues need to research in-depth in characteristic markers and scene recognition technology, because sport-video is colorful,The competition range is infinitely varied and there is also uncertainties factors about micro-environmental changes and cameras movements.The research content of this paper covers the following three points.First, the extraction main region in video frequency frame. As the scene contains a large number of disturbance information audiences such as information of audiences region, remove disturbance information can significantly improve the image detection accuracy and detection speed. This paper analyzes the characteristic of competition range, and design a automatic method to extract the main region based on color histogram statistics which also includes noise filtering and holes atonement.Second, characteristic marked point examination in location. The lines intersection points are the primary origin of characteristic points, in view of the actual characteristic of characteristic point movement under micro-movement camera, the detection of characteristic points divides into Characteristic point overall situation examination in the first time and characteristic point partial examination under micro-movement camera. Characteristic point partial examination under micro-movement camera need very high request of the speed and the precision, so this paper use the method that complex with partial examination relate to characteristic points and Kalman estimating relate to motor points.Third, stability analyses of transform relations under micro-movement camera. The multiple factors include micro-movement camera,Low resolution,Erroneous expansion create the vibration phenomenon (do not fuses stably)in the hypothesized advertisement, This phenomenon can not be solved only by the improvement of characteristic information detection algorithm increases the detection precision, except the method that analysis interrelatedness of characteristic information in around frames, exclusive characteristic information points which have lager relative error, and it is able to enhance the stability essentially of the advertisement fusion depends upon this method.